I need distance (depth) data from OAK-D Lite. Detection I do on Jetson board using Yolo5+TensorRT, so that means: planar 2-D data (object's width and length) I already have.
As Mr. Erik suggested once earlier: I could use API's YoloSpatialDetectionNetwork , but after I looked at it, it seemed like an overkill to me because it returns bounding boxes as well.
Is there some more lighter approach using DepthAI API and C++ to return what we need (distance only or at least as less as possible beside it)?
